Plotly

Let’s load the AirBnB dataset.

data("nyc_airbnb")

nyc_airbnb =
  nyc_airbnb |> 
  mutate(
    rating = review_scores_location / 2
  ) |> 
  select(
    neighbourhood_group, neighbourhood, rating,
    price, room_type, lat, long
  ) |> 
  filter(
    neighbourhood_group == "Manhattan",
    room_type == "Entire home/apt",
    price <= 500,
    price >= 100
  )

Let’s make a scatterplot!! But interactive this time.

nyc_airbnb |> 
  mutate(
    label = str_c("Price: $",price, "\nRating: ",rating)
  ) |> 
  plot_ly(
    x = ~lat, y = ~long, color = ~price,
    text = ~ label,
    type = "scatter", mode = "markers", alpha = 0.5
  )

Let’s make a boxplot.

nyc_airbnb |> 
  mutate(
    neighbourhood = fct_reorder(neighbourhood, price)
  ) |> 
  plot_ly(
    x = ~neighbourhood, y = ~price, color = ~neighbourhood,
    type = "box", colors = "viridis"
  )

Maybe bar charts next?

nyc_airbnb |> 
  count(neighbourhood) |> 
  mutate(
    neighbourhood = fct_reorder(neighbourhood, n)
  ) |> 
  plot_ly(
    x = ~neighbourhood, y = ~n,
    type = "bar"
  )